水土保持研究2024，Vol.31Issue(1)：440-449,10.DOI:10.13869/j.cnki.rswc.2024.01.010
基于优化地理探测器的生态环境质量驱动力分析
Eco-environmental Quality Driving Force Detection Using Optimized Geographic Detector
摘要
Abstract
[Objective]This study arms to overcome the randomness and subjectivity of ecological environment quality(EQI)evolution drivers in the discretization process,and to optimize the traditional geographic detec-tor.[Methods]This study discretized 22 EQI evolutionary driving factors in Chongqing by using five discret-ization methods,namely equal interval method,quantile method,natural breakpoint method,geometric interval method and standard deviation method.Geographic detector was combined to determine the reasona-ble discrete method and classification number of each factor,so as to explore the driving force size of each driving factor and the interaction model of each driving factor.[Results](1)From 2005 to 2020,the number of districts and counties in grade Ⅰ,Ⅲ and Ⅳ decreased by 0.211,while the number of districts and counties in Grade Ⅱ and Ⅴ increased by 0.211,showing an overall downward trend and spatial gradient distribution from northwest to southeast.(2)The order of applicability of each discrete method in this study was:natural break point method＞geometric interval method＞quantile method＞equal interval method＞standard devia-tion method.The discretization methods applicable to different factors were different,so the discretization methods should be selected according to the characteristics of factor data.(3)Four key driving factors(0.37～0.49),13 main driving factors(0.14～0.33),four minor driving factors(0.05～0.13)and one other factor(0.04)were identified,and the interaction among all driving factors was doubly enhanced or nonlinear enhanced.[Conclusion]Reasonable discretization can overcome randomness and subjectivity in the process of continuous data discretization to a certain extent,so as to optimize the detection results of EQI evolution driving forces in Chongqing.关键词
合理离散法/地理探测器/生态环境质量/驱动力/重庆市Key words
geographic detector/ecological environment quality/driving force analysis/optimal discrete method/Chongqing City分类
农业科技引用本文复制引用
牟凤云,黄淇,陈林..基于优化地理探测器的生态环境质量驱动力分析[J].水土保持研究,2024,31(1):440-449,10.基金项目
自然资源部城市国土资源监测与仿真重点实验室开放基金资助(KF-2021-06-102) （KF-2021-06-102）
国家重点研发计划(2019YFB2102503) （2019YFB2102503）
